{"id":"W4403779152","doi":"10.5376/lgg.2024.15.0025","title":"In-Depth Analysis of Physiological, Biochemical, and Molecular Bases of Drought Tolerance in Soybeans","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drought tolerance; Biology; Agronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008351354,0.00008786864,0.0002151481,0.00004389473,0.00001376464,0.00001965133,0.00007348887,0.00007138134,0.00001836964],"category_scores_gemma":[0.000008115308,0.00004352963,0.0000531501,0.0005755834,0.00008214861,0.00001681839,0.00004101387,0.00005153697,2.711154e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007120097,"about_ca_system_score_gemma":0.000005408439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007966976,"about_ca_topic_score_gemma":0.0001258255,"domain_scores_codex":[0.9993245,0.00002169981,0.0002421426,0.0002310147,0.00006613463,0.0001144922],"domain_scores_gemma":[0.9998042,0.00005404962,0.0000439629,0.00004596959,0.0000214942,0.00003033098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000006445862,0.00003877882,0.008852209,0.00002419156,0.00003335788,0.000002214535,0.0001466809,0.0004310695,0.985822,0.000263323,0.00002308052,0.004356636],"study_design_scores_gemma":[0.0001933735,0.000256621,0.6885227,0.00005919454,0.0001416165,0.000001329726,0.0003740917,0.02771421,0.2779881,0.002866666,0.001611188,0.0002709251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933529,0.00625268,0.00001219085,0.0001910792,0.00002182515,0.00007793631,0.00004383528,0.000003676254,0.00004388735],"genre_scores_gemma":[0.9976585,0.001868166,0.0003361708,0.00007823337,0.00001942258,0.000003311453,0.00002515742,9.7373e-7,0.0000100487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7078339,"threshold_uncertainty_score":0.1775087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387791506399823,"score_gpt":0.2286888682292219,"score_spread":0.2148109531652237,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}